Triple
T10526528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Duke |
E248319
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | American Gigolo |
E455510
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: American Gigolo | Statement: [Bill Duke, notableWork, American Gigolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Gigolo Context triple: [Bill Duke, notableWork, American Gigolo]
-
A.
American Gigolo
chosen
American Gigolo is a 1980 neo-noir crime drama film about a high-priced male escort in Los Angeles, widely known for its stylish direction and for helping establish Richard Gere as a major Hollywood star.
-
B.
Gigolo Joe
Gigolo Joe is a charming, hyper-stylized male-prostitute android character from Steven Spielberg’s science fiction film "A.I. Artificial Intelligence."
-
C.
Gigolo
"Gigolo" is a poem by Sylvia Plath, included in her collection *Winter Trees*, that explores themes of sexuality, performance, and emotional detachment.
-
D.
Pronto Monto
Pronto Monto is a 1978 folk-pop album by Canadian singer-songwriters Kate and Anna McGarrigle, known for its lush arrangements and witty, bilingual songwriting.
-
E.
Tokyo Joe
Tokyo Joe is a 1949 film noir crime drama starring Humphrey Bogart as an ex-serviceman entangled in postwar Tokyo’s criminal underworld.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4bbe88190bce7789a56c85671 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e26c4908190b77d73c11bee6119 |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:29 p.m.